Full-Time

Software Engineer – New Grad

Distributed Data Systems, 2025 Start

Posted on 8/5/2024

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
AI & Machine Learning

Compensation Overview

$140k - $150kAnnually

+ Annual Performance Bonus + Equity

Entry

Mountain View, CA, USA

Category
Backend Engineering
FinTech Engineering
Software Engineering
Required Skills
Data Structures & Algorithms
Java
C/C++
Requirements
  • You will graduate in Fall 2024 or Spring 2025 with a degree in Computer Science, Engineering, or related subject
  • You have implementation skills with a general purpose program language, such as Java, or C++
  • You have knowledge of algorithms, data structures, and OOP principles
  • A passion for database systems, storage systems, distributed systems, language design, or performance optimization
  • You have experience managing end-to-end projects
Responsibilities
  • Query compilation and optimization
  • Distributed query execution and scheduling
  • Vectorized execution engine
  • Data security
  • Resource management
  • Transaction coordination
  • Efficient storage structures (encodings, indexes)
  • Automatic physical data optimization
  • Data plane storage
  • Storage management system

Databricks provides a platform that combines the features of data lakes and data warehouses, referred to as lakehouse architecture. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a diverse clientele, including data engineers, data scientists, and business analysts in sectors like finance, healthcare, and technology. Databricks streamlines data ingestion, management, and analysis through automated ETL processes, secure data sharing, and high-performance analytics. Additionally, it supports machine learning and AI workloads, enabling users to build and deploy models at scale. The company operates on a subscription-based model, generating revenue from platform access and professional services. Databricks aims to enhance data management and analytics for its users, making it easier to derive valuable insights from their data.

Company Stage

Series I

Total Funding

$4.2B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

8%

1 year growth

26%

2 year growth

78%
Simplify Jobs

Simplify's Take

What believers are saying

  • The $1 billion acquisition of Tabular is likely to enhance Databricks' data management capabilities and market reach.
  • The development and launch of the DBRX generative AI model, with a $10 million investment, underscores Databricks' dedication to leading in AI technology.
  • High-profile investments from figures like Nancy Pelosi indicate strong confidence in Databricks' growth potential.

What critics are saying

  • The integration of Tabular's team and technology could face challenges, potentially disrupting operations.
  • The competitive landscape in AI and data analytics is intense, with major players like Google and Microsoft posing significant threats.

What makes Databricks unique

  • Databricks' acquisition of Tabular, founded by the creators of Apache Iceberg, strengthens its position in the open lakehouse market.
  • The launch of DBRX, an open-source LLM that outperforms GPT-3.5 and Llama 2, showcases Databricks' commitment to cutting-edge AI innovation.
  • Strategic partnerships, such as with AVEVA for industrial AI, highlight Databricks' ability to integrate and enhance diverse technological ecosystems.

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Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave

INACTIVE